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Volumn 6, Issue 1, 2002, Pages 74-85

Effects of phenotypic redundancy in structure optimization

Author keywords

Genotype phenotype mapping; Graph representations; Neural networks; Redundancy; Structure optimization

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; GENETIC ENGINEERING; GRAPH THEORY; LEARNING ALGORITHMS; MATRIX ALGEBRA; MOLECULAR DYNAMICS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; RNA;

EID: 0036464942     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/4235.985693     Document Type: Article
Times cited : (13)

References (42)
  • 2
    • 0031557885 scopus 로고    scopus 로고
    • What exactly are genomes, genotypes and phenotypes? And what about phenomes?
    • May
    • (1997) J. Theor. Bio. , vol.186 , Issue.1 , pp. 55-63
    • Mahner, M.1    Kary, M.2
  • 8
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • Sept.
    • (1999) Proc. IEEE , vol.87 , pp. 1423-1447
    • Yao, X.1
  • 19
    • 0004311713 scopus 로고
    • Evolving networks: Using genetic algorithm with connectionist learning
    • Comput. Sci. Eng. Dept., Univ. California, San Diego, CA, Tech. Rep. CS90-174 (revised)
    • (1991)
    • Belew, R.K.1    McInerney, J.2    Schraudolph, N.N.3
  • 25
    • 0014421064 scopus 로고
    • Evolutionary rate at the molecular level
    • (1968) Nature , vol.217 , pp. 624-626
    • Kimura, M.1
  • 27
    • 14844347701 scopus 로고    scopus 로고
    • Operator adaptation in evolutionary computation and its application to structure optimization of neural networks
    • Inst. Neuroinformatik, Ruhr-Univ. Bochum, Bochum, Germany, Tech. Rep. IRINI 2001-03
    • (2001)
    • Igel, C.1    Kreutz, M.2
  • 28
    • 4243905782 scopus 로고    scopus 로고
    • Self-adaptive exploration in evolutionary search
    • Inst. Neuroinformatik, Ruhr-Univ. Bochum, Bochum, Germany, Tech. Rep. IRINI 2001-05
    • (2001)
    • Toussaint, M.1
  • 37
    • 2442537273 scopus 로고    scopus 로고
    • Comparison between Lamarckian and Darwinian evolution on a model using neural networks and genetic algorithms
    • (2000) Knowl. Info. Syst. , vol.2 , Issue.2 , pp. 201-222
    • Sasaki, T.1    Tokoro, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.